3 papers
cs.AI2026
Chronocooked: A Benchmark for Implicit Interval Timing in Reinforcement Learning Agents
Amrapali Pednekar, Alvaro Garrido-Perez, Yara Khaluf +1
This paper presents Chronocooked, a reinforcement learning (RL) benchmark suite for studying implicit interval timing in RL agents. Inspired by Overcooked, the suite comprises cook…
q-bio.NC2026
Including the Cost of Irreducible Uncertainty in the Policy Compression Framework
Álvaro Garrido-Pérez, Pieter Simoens, Amrapali Pednekar +1
AI decision-support systems can benefit from anticipating biases in human decision-making. Many such biases may arise from human cognitive limitations. The policy compression frame…
cs.AI2025
Modulation of temporal decision-making in a deep reinforcement learning agent under the dual-task paradigm
Amrapali Pednekar, Álvaro Garrido-Pérez, Yara Khaluf +1
This study explores the interference in temporal processing within a dual-task paradigm from an artificial intelligence (AI) perspective. In this context, the dual-task setup is im…